An integrated statistical-machine learning approach for runoff prediction
Nowadays, great attention has been attributed to the study of runoff and its fluctuation over
space and time. There is a crucial need for a good soil and water management system to …
space and time. There is a crucial need for a good soil and water management system to …
IHACRES, GR4J and MISD-based multi conceptual-machine learning approach for rainfall-runoff modeling
As a complex hydrological problem, rainfall-runoff (RR) modeling is of importance in runoff
studies, water supply, irrigation issues, and environmental management. Among the variety …
studies, water supply, irrigation issues, and environmental management. Among the variety …
[HTML][HTML] Forecasting vapor pressure deficit for agricultural water management using machine learning in semi-arid environments
Precise evapotranspiration (ET) estimation is critical for agricultural water management,
particularly in water-stressed developing countries. Vapor Pressure Deficit is one of the ET …
particularly in water-stressed developing countries. Vapor Pressure Deficit is one of the ET …
Modeling of monthly rainfall–runoff using various machine learning techniques in Wadi Ouahrane Basin, Algeria
Rainfall–runoff modeling has been the core of hydrological research studies for decades. To
comprehend this phenomenon, many machine learning algorithms have been widely used …
comprehend this phenomenon, many machine learning algorithms have been widely used …
Application of machine learning and emerging remote sensing techniques in hydrology: A state-of-the-art review and current research trends
A Saha, SC Pal - Journal of Hydrology, 2024 - Elsevier
Water, one of the most valuable resources on Earth, is the subject of the study of hydrology,
which is of utmost importance. Satellite remote sensing (RS) has emerged as a critical tool …
which is of utmost importance. Satellite remote sensing (RS) has emerged as a critical tool …
Simulated annealing coupled with a Naive Bayes model and base flow separation for streamflow simulation in a snow dominated basin
Streamflow simulation in a snow dominated basin is complex due to the presence of a high
number of interrelated hydrological processes. This complexity is affected by the delayed …
number of interrelated hydrological processes. This complexity is affected by the delayed …
Exploring the use of multi-gene genetic programming in regional models for the simulation of monthly river runoff series
The use of new data-driven approaches based on the so-called expert systems to simulate
runoff generation processes is a promising frontier that may allow for overcoming some …
runoff generation processes is a promising frontier that may allow for overcoming some …
Developing a Data-Driven AI Model to Enhance Energy Efficiency in UK Residential Buildings
H Seraj, A Bahadori-Jahromi, S Amirkhani - Sustainability, 2024 - mdpi.com
Residential buildings contribute 30% of the UK's total final energy consumption. However,
with less than one percent of its housing stock being replaced annually, retrofitting existing …
with less than one percent of its housing stock being replaced annually, retrofitting existing …
Using Ensembles of Machine Learning Techniques to Predict Reference Evapotranspiration (ET0) Using Limited Meteorological Data
To maximize crop production, reference evapotranspiration (ET0) measurement is crucial for
managing water resources and planning crop water needs. The FAO-PM56 method is …
managing water resources and planning crop water needs. The FAO-PM56 method is …
Analysis of surface runoff and sediment yield under simulated rainfall
This study investigates the impacts of varying rainfall intensity, vegetation cover, soil types,
catchment slope, and antecedent moisture content (AMC) of soil on surface runoff …
catchment slope, and antecedent moisture content (AMC) of soil on surface runoff …